Free cookie consent management tool by TermsFeed Generator

Series: The Cost of Knowing: Dual Control, Bounded Probing, and the Limits of Forward Simulation

Every simulation answers one question and raises three new ones.
A simulator validated against history has never once been wrong about the past, which is why its clean result is so easy to mistake for evidence. This series asks when to stop simulating and start learning from live operation. Each part prices one step: what refusing to explore really costs, how a controller can measure while it operates, what a safety boundary has to bound, and the point where one more simulation costs more than it can teach. Every part ends by naming the condition under which its own recommendation reverses. An architecture is only as honest as the failure condition it names.

4 posts in this series

  1. 1. The Simulation Singularity

    A simulator that matches history perfectly has only been tested on regimes that already happened. This post prices what that comfort costs, using Lai and Robbins' 1985 regret floor, and shows why neither more logging nor more simulation runs can close the gap.

  2. 2. Dual Control and the Weaponized Probe

    A scheduled canary test for the failure you already suspect is a second simulator built to agree with you. Feldbaum's 1960 dual control theory supplies the alternative: a control action that regulates the system and keeps testing its own estimates, with no scheduled point where it stops. TCP BBR has run one at internet scale since 2016.

  3. 3. Safe in Probability, Not in Size

    A permanent probe needs a boundary a reviewer can approve once. This post builds it as a discrete-time stochastic control barrier function, then names its gap: bounding how often a system leaves its safe region says nothing about how far it goes. Under a heavy tail, the worst case can run four orders of magnitude past what the reviewer signed.

  4. 4. The Trigger to Stop Simulating

    When does more simulation stop paying, and building the fix become overdue? This post treats the decision as a bounded premium paid once for the right to survive an open-ended, heavy-tailed cost, and derives the threshold. At the base discount rate every tail weight the series has priced clears it, though the lightest tail's margin depends on that rate in a way the heavier tails' margins do not.

← Back to all posts